Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC52FB2164925A2B1603CD81E12B9F1E66C7034DDA116EEA80FDD1EA3FD6CB5CC2F764 |
|
CONTENT
ssdeep
|
96:TW6A96UvB44Dhd+t1k4r6P1CMH6P1CKti+kwncv1+qp1TNb7cy6k6/DUJg8QiNqz:k96UvLE1k4WPpaP/igc0qpdJgtTz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d299ad5652a9ac56 |
|
VISUAL
aHash
|
3c3c7c7e747c3f3b |
|
VISUAL
dHash
|
f0e0f0d8e4e4f2e3 |
|
VISUAL
wHash
|
383c3c3c343c3e3b |
|
VISUAL
colorHash
|
07007000040 |
|
VISUAL
cropResistant
|
f0e0f0d8e4e4f2e3 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.